Abstract：This paper proposes a summarization unit selection method based on the cloud model. The cloud model is used to consider randomness as well as fuzziness on distribution of summarization unit. In obtaining relevance between summarization unit and query, the scores of relevance between the word and each query word are seen as cloud drops. According to the uncertainty of cloud, a summarization unit which is more relevant to the query is given higher score. After that, the importance in the document set is also considered to evaluate the sentence's ability to summarize content of the document set. Similarities between a sentence and all sentences in document set are considered as cloud drops. All these cloud drops become a cloud, which indicates the sentence's ability to summarize content of the document set. The effectiveness of the proposed method is demonstrated on large-scale open benchmark corpus in English. The method was also examined by TAC (Text Analysis Conference) 2010 with satisfactory results. Key words: cloud model; query-focused multi-document summarization; uncertainty 收稿日期: 2016-00-00 定稿日期: 2016-00-00 基金项目: 教育部人文社会科学一般项目(13YJCZH013)、湖州师范学院人文社科预研究项目(KY27015A )
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2016, Vol. 30 
